Chaotic neural networks and the traveling salesman problem

Deterministic chaos is not only a profound scientific concept but also ubiquitously found in both natural and artificial real-world systems. From the viewpoint of engineering, the deterministic chaos has many possible applicabilities. In this report, the authors study the application of chaotic neur...

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Veröffentlicht in:International Joint Conference on Neural Networks, Nagoya, 1993 Jg. 2; S. 1549 - 1552 vol.2
Hauptverfasser: Yamada, T., Aihara, K., Kotani, M.
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.01.1993
Schlagworte:
Artificial neural networks
Bifurcation
Biological neural networks
Biological system modeling
Cellular neural networks
Chaos
Neural networks
Neurons
Physics
Traveling salesman problems
ISBN:0780314212, 9780780314214
Online-Zugang:Volltext
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Zusammenfassung:Deterministic chaos is not only a profound scientific concept but also ubiquitously found in both natural and artificial real-world systems. From the viewpoint of engineering, the deterministic chaos has many possible applicabilities. In this report, the authors study the application of chaotic neural networks (CNN) to the traveling salesman problem (TSP) as a concrete example of possible application of deterministic chaos. First, a neuron model with chaotic dynamics, which comprises CNN as the element, is explained and its nonlinear dynamics are demonstrated. Second, the network representations for neurocomputing approaches to TSPs are described. Last, it is shown that CNN have high ability to solve TSPs.
ISBN:0780314212
9780780314214
DOI:10.1109/IJCNN.1993.716882